• DocumentCode
    3709577
  • Title

    Sensorless friction-compensated passive lead-through programming for industrial robots

  • Author

    Andreas Stolt;Fredrik Bagge Carlson;M. Mahdi Ghazaei Ardakani;Ivan Lundberg;Anders Robertsson;Rolf Johansson

  • Author_Institution
    Department of Automatic Control, Lund University, Sweden
  • fYear
    2015
  • fDate
    9/1/2015 12:00:00 AM
  • Firstpage
    3530
  • Lastpage
    3537
  • Abstract
    Industrial robots are important when the degree of automation in industry is increased. To enable the use of robots also when the products change rapidly, the programming must be quick and easy to perform. One way to accomplish this is to use lead-through programming, i.e., the user manually guides the robot. This paper presents a sensorless approach, and thus avoids the need for a typically expensive sensor. The method is based on disabling low-level joint controllers combined with gravity compensation. It is reported how the performance can be improved by compensating for friction. Further, a method for detecting small external torques is described, based on the use of the low-level joint controllers with increased integral gain. The lead-through programming is experimentally evaluated using two different industrial robots.
  • Keywords
    "Robot sensing systems","Friction","Torque","Feedforward neural networks","Programming","Robot kinematics"
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Robots and Systems (IROS), 2015 IEEE/RSJ International Conference on
  • Type

    conf

  • DOI
    10.1109/IROS.2015.7353870
  • Filename
    7353870